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选择特高含油量资源7份,与中国各油菜主产区具有代表性的主栽品种16份,利用SSR多引物组合法开展指纹图谱构建研究。选择多态丰富、图谱清晰稳定且来自不同连锁群的引物28对,对所有材料进行指纹图谱分析,共获SSR指纹条带302条,其中多态性条带为279条,每引物所获条带6～16条,平均10.79条,平均多态率92.38%,通过指纹图谱将所有材料有效地区别开来。用非加权类平均法(UPGAM)聚类分析显示,高油材料之间以及高油材料与主栽品种之间遗传距离均有较大差异,在遗传距离0.171处可将23份材料分成9个类群,其中7份高油材料分处4个类群,遗传距离差异显著;而其他8份主栽品种被分别聚类在另外5个类群中,主栽区域特别明显;所有材料间皆具有丰富的遗传多样性,其中高油材料与主栽品种间遗传差异更大。
Seven high-oil-content resources were selected, and 16 main representative cultivars in all major rapeseed areas of China were established. Fingerprinting was carried out by SSR multi-primer combination method. A total of 28 SSR fingerprinting bands were obtained, of which 279 were polymorphic bands, and the bands obtained for each primer were selected from 28 pairs of primers with clear and stable polymorphisms and from different linkage groups. With 6 to 16, with an average of 10.79, with an average polymorphism rate of 92.38%, all the materials were effectively distinguished by fingerprinting. UPGAM clustering analysis showed that the genetic distances between high-oil materials and high-oil materials and main cultivars were all significantly different. At the genetic distance of 0.171, 23 materials could be divided into 9 Among them, 7 high-oil materials were divided into 4 groups, and the genetic distance was significantly different; while the other 8 main cultivars were clustered in 5 other groups, the main planting area was particularly obvious; all the materials were rich Genetic diversity, including high-oil materials and cultivars more genetic differences between the larger.